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README.md

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 # harpertokenNER
 
-This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the [CoNLL-2003](https://huggingface.co/datasets/conll2003) dataset. It achieves a validation loss of **0.0474** on the evaluation set.
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the [CoNLL-2003](https://huggingface.co/datasets/eriktks/conll2003) dataset. It achieves a validation loss of **0.0474** on the evaluation set.
 
 ## Model Description
 
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 ## Training and Evaluation Data
 
-The model was trained and evaluated on the [CoNLL-2003](https://huggingface.co/datasets/conll2003) dataset, a standard NER benchmark. It features annotated English news articles with entities like persons, organizations, and locations, split into training, validation, and test sets. Metrics here reflect the evaluation subset.
+The model was trained and evaluated on the *CoNLL-2003 dataset*, a standard NER benchmark. It features annotated English news articles with entities like persons, organizations, and locations, split into training, validation, and test sets. Metrics here reflect the evaluation subset.
 
 ## Training Procedure